2023
DOI: 10.1111/auar.12406
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Internal Information Quality and Corporate Employment Decisions

Ahrum Choi,
Woo‐Jong Lee,
Yong Gyu Lee
et al.

Abstract: Prior studies argue that high‐quality internal information improves forecasting and reduces internal information asymmetry, and hence facilitates firms’ decision‐making. Consistent with this argument, we find that internal information quality (IIQ) is positively associated with employment efficiency. Furthermore, we find that better IIQ leads to an improvement in employment efficiency primarily by improving demand forecasts. The baseline finding is robust to using a setting that exploits time‐series shocks to … Show more

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Cited by 2 publications
(2 citation statements)
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References 62 publications
(204 reference statements)
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“…One of the most difficult tasks undertaken by any accountant is forecasting. Our next two articles (Choi et al 2023;Platikanova 2023) provide advice on what is needed to enhance forecast accuracy. They underscore the importance of superior internal information (Choi et al 2023), and advocate for heightened competition among analysts that elicits better information (Platikanova 2023).…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…One of the most difficult tasks undertaken by any accountant is forecasting. Our next two articles (Choi et al 2023;Platikanova 2023) provide advice on what is needed to enhance forecast accuracy. They underscore the importance of superior internal information (Choi et al 2023), and advocate for heightened competition among analysts that elicits better information (Platikanova 2023).…”
mentioning
confidence: 99%
“…Our next two articles (Choi et al 2023;Platikanova 2023) provide advice on what is needed to enhance forecast accuracy. They underscore the importance of superior internal information (Choi et al 2023), and advocate for heightened competition among analysts that elicits better information (Platikanova 2023). The benefits include greater employment efficiency and better investment decisions.…”
mentioning
confidence: 99%